Ask Bookie
{
"item_title" : "Artificial Intelligence for Cyber Security",
"item_author" : [" Sanjay Misra", "Amit Kumar Tyagi "],
"item_description" : "A Deep Learning Framework to preserve Privacy in Federated (Collaborative) Learning.- Biometric Fingerprint Generation using Generative Adversarial Networks.- Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques.- Biometric E-Voting System for Cybersecurity.- Proactive Network Packet Classification using Artificial Intelligence.- Security and Information Assurance for IoT-based Big Data.- Privacy Preservation Approaches for Social Network Data Publishing.",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/03/072/235/303072235X_b.jpg",
"price_data" : {
"retail_price" : "299.99", "online_price" : "299.99", "our_price" : "299.99", "club_price" : "299.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Artificial Intelligence for Cyber Security : Methods, Issues and Possible Horizons or Opportunities
by Sanjay Misra and Amit Kumar Tyagi
Other Available Formats
Overview
A Deep Learning Framework to preserve Privacy in Federated (Collaborative) Learning.- Biometric Fingerprint Generation using Generative Adversarial Networks.- Assessing Cybersecurity Economic Risks in Virtual Power Plant UsingDeep Learning Techniques.- Biometric E-Voting System for Cybersecurity.- Proactive Network Packet Classification using Artificial Intelligence.- Security and Information Assurance for IoT-based Big Data.- Privacy Preservation Approaches for Social Network Data Publishing.
This item is Non-Returnable
Details
- ISBN-13: 9783030722357
- ISBN-10: 303072235X
- Publisher: Springer
- Publish Date: June 2021
- Dimensions: 9.21 x 6.14 x 1.06 inches
- Shipping Weight: 1.86 pounds
- Page Count: 467
Related Categories